Citation Source and Traceability for Personal Care Product

What Data for This Category Looks Like

Personal care product research report data primarily comes from third-party industry consulting institutions, sales monitoring data from mainstream e-commerce platforms, supply reports from raw material suppliers, and sampling results from third-party compliance testing institutions. There are two update cycles. Data related to e-commerce sales updates weekly. Industry trend research reports update monthly or quarterly. Compliance testing reports update with each sampling batch. Document structures typically include four core modules: raw material ingredient details, user review tags, sales volume statistics, and compliance testing conclusions. Fields include raw material name, supply batch number, sales unit price, and testing qualification status. Common units are standardized identifiers such as pieces, yuan, and batch numbers.

Constraints on Citation and Traceability

These data characteristics create multi-dimensional constraints for the citation traceability process. First, multi-source data requires dedicated traceability identifiers. Traceability fields for e-commerce sales data and industry research report data must be bound separately to avoid source confusion. Second, data with different update cycles must clearly mark update times in traceability information. Weekly sales data must retain weekly timestamps. Quarterly research reports must list their release quarter. This prevents referencing outdated content. Third, the supply batch number field from compliance testing reports must serve as the core traceability anchor. Raw material ingredient details must link to corresponding supplier information. This ensures referenced testing results can be matched to specific sampling batches. Additionally, unstructured user review tags must retain their original collection channel identifiers. This ensures referenced user feedback can be traced back to its original data source.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`retrieve_top_k`	Top 8 entries	Personal care product research reports have many segmented fields. A sufficient number of recalled documents is needed to cover the three core data types: ingredients, sales, and compliance
`similarity_threshold`	0.72	Balances precise matching and recall coverage for personal care product research reports. This avoids missing content related to segmented raw materials
`max_context_length`	6000 characters	Adapts to the single-document length of personal care product research reports. This ensures complete citation of core traceability information
`source_display_mode`	Show full source path	Three key traceability pieces of information must be displayed: data source type, update time, and batch number
`parse_timeout`	120 seconds	Adapts to the parsing duration of compliance testing reports. This prevents parsing timeouts for long documents
`dataset_scope`	Bind to the designated personal care research report dataset	Limits retrieval scope to only personal care product-related research reports. This avoids interference from cross-category data

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Each case requires individual analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Configuration Errors

A red error message appears in the interface, prompting "Unable to match valid traceability information". The cause is failure to configure dataset_scope to bind the exclusive personal care research report dataset. The retrieval scope covers documents from non-target categories, resulting in missing traceability fields.
When testing the workflow, only the first query displays knowledge base citation results. Subsequent queries show no knowledge base traceability content. The cause is failure to correctly bind the global dataset_id variable to each knowledge base retrieval node. This prevents subsequent sessions from identifying the target dataset.
The AI output only includes summary content, with no citation links or field information from the original knowledge base documents. The cause is enabling the content_summarize_enable parameter, or failing to configure source_display_mode to "Show full original text". This causes traceability information to be automatically filtered out.

How to Confirm Proper Configuration

Enter the knowledge base configuration page. Verify that the dataset_scope parameter is bound to the exclusive dataset that only includes personal care product research reports. Confirm the retrieval scope does not include non-target category documents.
Submit a single test query. Check the traceability module of the returned results. Confirm that three core traceability pieces of information are displayed: data source type, update time, and batch number. This matches the configuration requirements for source_display_mode.
Submit three or more different queries related to personal care products. Check that each result includes knowledge base citation content. Confirm that the global variable and session context configurations are working correctly.
View the running logs of the knowledge base retrieval node. Confirm that the number of recalled documents and matching degree match the preset configuration. No abnormal interception or timeout prompts should appear.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.